Spectral imaging of histological and cytological specimens

Chana Rothmann; Zvi Malik

doi:10.1117/12.347574

6 May 1999 Spectral imaging of histological and cytological specimens

Chana Rothmann, Zvi Malik

Proceedings Volume 3605, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI; (1999) https://doi.org/10.1117/12.347574
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States

Abstract

Evaluation of cell morphology by bright field microscopy is the pillar of histopathological diagnosis. The need for quantitative and objective parameters for diagnosis has given rise to the development of morphometric methods. The development of spectral imaging for biological and medical applications introduced both fields to large amounts of information extracted from a single image. Spectroscopic analysis is based on the ability of a stained histological specimen to absorb, reflect, or emit photons in ways characteristic to its interactions with specific dyes. Spectral information obtained from a histological specimen is stored in a cube whose appellate signifies the two spatial dimensions of a flat sample (x and y) and the third dimension, the spectrum, representing the light intensity for every wavelength. The spectral information stored in the cube can be further processed by morphometric analysis and quantitative procedures. Such a procedure is spectral-similarity mapping (SSM), which enables the demarcation of areas occupied by the same type of material. SSM constructs new images of the specimen, revealing areas with similar stain-macromolecule characteristics and enhancing subcellular features. Spectral imaging combined with SSM reveals nuclear organization through the differentiation stages as well as in apoptotic and necrotic conditions and identifies specifically the nucleoli domains.

Citation Download Citation

Chana Rothmann and Zvi Malik "Spectral imaging of histological and cytological specimens", Proc. SPIE 3605, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI, (6 May 1999); https://doi.org/10.1117/12.347574

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